Semi-Supervised Multi-Modal Learning with Balanced Spectral Decomposition

Semi-Supervised Multi-Modal Learning with Balanced Spectral Decomposition_第1张图片
Y是所有模态的表征矩阵, ∑ i = 1 d h ( λ i ) \sum_{i=1}^dh(\lambda_i) i=1dh(λi) is the proposed eigenvalue-based objective function,the final similarity matrix W for the multimodal data as a block matrix

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